A clever hack by Alexander Crosson and Naveen Kulandaivelu at today’s TechCrunch Disrupt SF Hackathon may be giving us tech journalists early warning signs of our forthcoming replacement by AI. While nowhere near advanced enough to conduct independent due diligence or investigative reporting, their project, CrunchLetter, is aimed squarely at automating the way we get news.Newsletters from publications like TechCrunch and StrictlyVC, as well as platforms like CrunchBase, are painstakingly assembled by hand, but the team’s machine learning experiment leveraging Google’s Tensor Flow is already able to generate rudimentary venture capital deal summaries. The tool uses unsupervised machine learning to analyze the CrunchBase data set, alongside articles from major VC publications, to generate newsletters for folks following the startup funding beat. During the team’s presentation, the two showed a work in progress that could assemble a…